Work

A Survey of Physics-Based Attack Detection in Cyber-Physical Systems

Year: 2018

Type: article

Abstract: Monitoring the "physics" of cyber-physical systems to detect attacks is a growing area of research. In its basic form a security monitor creates time-series models of sensor readings for an industrial control system and identifies anomalies in these measurements in order to identify potentially false control commands or false sensor readings. In this paper, we review previous work on physics-based anomaly detection based on a unified taxonomy that allows us to identify limitations and unexplored challenges, and propose new solutions.

Source: ACM Computing Surveys

DOI: 10.1145/3203245

Authors: Jairo Giraldo, David Urbina, Alvaro Cardenas, Junia Valente, Mustafa Faisal, Justin Ruths, Nils Ole Tippenhauer, Henrik Sandberg, Richard Candell

Institutions: The University of Texas at Dallas, Singapore University of Technology and Design, KTH Royal Institute of Technology, National Institute of Standards and Technology

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Vetenskapsrådet, National Institute of Standards and Technology

Awards: Physical Limits in Control and Model Reduction, CAREER: Practical Control Engineering Principles to Improve the Security and Privacy of Cyber-Physical Systems, G4787827020

OpenAlex ID: W2803355698

FWCI: 38.81

Cites: 112

Cited by: 532

Related to: 10